基于有线电视用户收视行为数据的个性化电视节目推荐研究  

Research on the Personalized TV Program Recommendation Based on CATV User’s Viewing Behavior Data

作　　者：姜明璋 张城瑞[2] Jiang Mingzhang;Zhang Chengrui(Xiamen University,Fujian 361005,China;Beijing Gehua CATV Network Co.,Ltd.,Beijing 100007,China)

机构地区：[1]厦门大学,福建361005 [2]北京歌华有线电视网络股份有限公司,北京100007

出　　处：《广播与电视技术》2023年第3期69-74,共6页Radio & TV Broadcast Engineering

摘　　要：本文以歌华有线的探索与实践为例,对基于用户收视行为数据的个性化电视节目推荐技术进行研究。基于个性化推荐算法,通过用户的收视行为提取收视特征建立项目-标签模型,使用户得到符合个性化需求及个人兴趣的推荐结果。This article takes exploration and practice of Gehua Cable as an example to study the personalized TV program recommendation technology based on the data of user viewing behavior data.Based on the personalized recommendation algorithm,the item tag model is established by extracting the viewing characteristics from the user's viewing behavior,and the recommendation results that meet the personalized needs and personal interests are obtained for the user and presented in the form of recommendation pages.

关 键 词：标签 数字电视 个性节目推荐 

分 类 号：TP391.3[自动化与计算机技术—计算机应用技术]